Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3145
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Background: Despite the recent rise in depressive symptoms among adolescents, trends in at-risk groups remain poorly understood. This study estimated national trends in depressive symptoms among high school students with and without health-risk behaviors.
Methods: Data were analyzed from the 2007 to 2021 Youth Risk Behavior Survey (YRBS), a biennial cross-sectional survey of US high school students (n = 119,654). Depressive symptoms were defined as past-year feelings of sadness/hopelessness almost every day for ≥2 weeks impacting usual activities. 24 health-risk behaviors across five categories (violence, substance use, sexual, physical/sedentary, and weight-related) were considered. Multivariable-adjusted logistic regression identified health-risk behaviors independently associated with depressive symptoms. National trends in depressive symptoms among students with and without these health-risk behaviors were estimated. National trends in health-risk behaviors were also estimated among those with depressive symptoms.
Findings: Among 119,654 students (mean age, 16.0 [SD = 1.2] years; 50.1% females; and 45.3% non-Hispanic White), depressive symptoms increased from 28.4% (2007) to 42.3% (2021) (biennial average percent change (BAPC), 3.0% [95% confidence interval (CI), 2.6-3.4%]). The largest increases occurred among females (BAPC, 3.3% [2.9-3.8%]) and non-Hispanic White students (BAPC, 3.6% [3.0-4.1%]). Depressive symptoms increased more among students engaging in ≤1 risk category (BAPC = 4.6% [3.6-5.7%]) than students engaging in 4-5 risk categories (BAPC = 2.9% [2.4-3.3%]) (interaction, = 0.037) and there was a general trend toward decreasing engagement in risk behaviors among students with depressive symptoms. In subgroup analyses, there was a disproportionately large increase in depressive symptoms among students reporting cannabis use, high-risk screen time, shorter sleep hours, and unhealthy weight perception.
Interpretation: Depressive symptoms increased faster among high school students without than with multiple behavioral risk factors. A broadening of the depression risk profile underscores the potential value of universal depression screening to identify students who may otherwise go undetected by targeted screening.
Funding: The study was not funded.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11790505 | PMC |
http://dx.doi.org/10.1016/j.lana.2025.101000 | DOI Listing |
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